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1 · Hero

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Case study · [Client name]

Cited by ChatGPT for category-defining queries within 6 weeks.

[Client] needed to be the answer when buyers asked AI engines about [category]. We rebuilt the structural foundation and content model — and they became the cited source.

Hero visual · campaign screenshot / brand frame
2 · At A Glance
[X%] share of AI citations in category
[6 wks] from kickoff to first citations
[Y] queries [Client] is now the answer to
3 · The Challenge

What was at stake

[Client] had been the category leader in traditional search for years — but AI search was reshaping how their customers discovered solutions, and competitors were getting cited in answers [Client] had built the category for. The problem wasn't visibility in Google. It was visibility in the answer engines their customers were starting to use first.

[Optional second paragraph adding nuance: internal politics, prior failed attempts, the specific moment that triggered the engagement, etc.]

4 · Our Approach

Three phases. One playbook.

Phase 1 · Weeks 1–2

Audit

We mapped exactly how AI engines saw [Client] today, what they cited (and didn't), and where competitors were eating share. Output: a prioritized punch list of fixes ranked by impact.

Phase 2 · Weeks 3–5

Structure

Schema markup, semantic refactor, and content model overhaul. We rebuilt the way [Client]'s pages described themselves so AI engines could quote them with confidence.

Phase 3 · Week 6+

Amplify

Citation-ready content for the queries that mattered most. Plus monitoring across ChatGPT, Perplexity, Gemini, and Claude — we tune what we publish based on what's getting cited.

5 · The Work

What the work looked like

Schema diagram

Before-and-after schema coverage map showing the structural gaps we closed.

AI citation screenshot

ChatGPT answer citing [Client] for a category-defining query that had been a competitor's territory.

Content model

The new content model we shipped — entities, relationships, and how each page declares itself.

Monitoring dashboard

Ongoing AI-surface monitoring dashboard the [Client] team uses week to week.

6 · Outcomes

What changed.

The "at a glance" stats are the headline. Here's what they mean in context.

  • [X%] share of AI citations across ChatGPT, Perplexity, and Gemini for [Y] target queries — up from [Z%] at kickoff.
  • [Y] new categories where [Client] is now the first source AI engines pull from.
  • Direct-to-domain traffic from AI surfaces lifted [X%] over [Y] months — measured via referrer tagging and post-AI-cite attribution.
  • The team now ships every new page through the citation-ready content model — compounding visibility with each publish.
7 · Client Voice
"[Long-form quote from a named stakeholder — what working with Generation Web was actually like, what surprised them, what made the difference. Specific beats vague every time.]"

— [Name], [Role], [Client]

9 · CTA · Pillar-Aware

Want to see how AI sees you?

Same audit we ran for [Client], free for your site. We'll send a branded PDF with the highest-leverage fixes.